Knowledge-based duty cycle estimation in wireless sensor networks: Application for sound pressure monitoring

Applied Soft Computing Journal

Volumn 13, Issue 2, 2013, Pages 967-980

  Cuevas Martinez, J C ^a   Canada Bago, J ^a   Fernandez Prieto, J A ^a   Gadeo Martos, M A ^a  

^a UNIVERSITY OF JAÉN   (Spain)

Author keywords

Constrained device; Fuzzy rule based system; Multi agent system; Sound pressure; Wireless sensor network

Indexed keywords

ELECTRIC BATTERIES; FUZZY INFERENCE; FUZZY RULES; KNOWLEDGE BASED SYSTEMS; MULTI AGENT SYSTEMS; SENSOR NODES; WIRELESS TELECOMMUNICATION SYSTEMS;

APPLICATION-ORIENTED; CONSTRAINED DEVICES; CONSTRAINED SENSORS; DUTY CYCLE CONTROL; MEASURING SYSTEMS; OPERATING LIFETIME; SOUND PRESSURES; WIRELESS COMMUNICATIONS;

WIRELESS SENSOR NETWORKS;

EID: 84881641590     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.10.005     Document Type: Article

References (36)

1. I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, Wireless sensor networks: a survey, Computer Networks 38 (2002) 393.
2. J. Yick, B. Mukherjee, D. Ghosal, Wireless sensor network survey, Computer Networks 52 (2008) 2292-2330.
3. A.J. Yuste, F.D. Trujillo, A. Trivino, E. Casilari, An adaptive gateway discovery for mobile ad hoc networks, in: MOBIWAC '07, Fith ACM International Workshop on Mobility Management and Wireless Access, 2007, pp. 159-162.
4. J. Senthilkumar, M. Chandrasekaran, Y. Suresh, S. Arumugam, V. Mohan-raj, Advertisement timeout driven bee's mating approach to maintain fair energy level in sensor networks, Applied Soft Computing Journal 11 (2011) 4029-4035.
5. O. Cordón, F. Herrera, F. Hoffmann, L. Magdalena, Genetic Fuzzy Systems: Evolutionary Tuning and Learning of Fuzzy Knowledge Bases, World Scientific Pub Co Inc., 2001.
6. L. Wang, Y. Xiao, A survey of energy-efficient scheduling mechanisms in sensor networks, Mobile Networks and Applications 11 (2006) 723-740.
7. I. Dietrich, F. Dressler, On the lifetime of wireless sensor networks, ACM Transactions on Sensor Networks (TOSN) 5 (2009) 5.
8. W. Ye, J. Heidemann, D. Estrin, An energy-efficient MAC protocol for wireless sensor networks, in: INFOCOM 2002, Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings of IEEE, vol. 3, 2002, pp. 1567-1576.
9. L. Wang, Y. Xiao, Energy saving mechanisms in sensor networks, in: 2nd International Conference on Broadband Networks BROADNETS 2005, vol. 2005, 2005, pp. 777-785.
10. S. Misra, D. Mohanta, Adaptive listen for energy-efficient medium access control in wireless sensor networks, Multimedia Tools and Applications 47 (2010) 121-145.
11. R. Cohen, B. Kapchits, An optimal wake-up scheduling algorithm for minimizing energy consumption while limiting maximum delay in a mesh sensor network, IEEE/ACM Transactions on Networking (TON) 17 (2009) 570-581.
12. Q. Cao, T. Abdelzaher, T. He, J. Stankovic, Towards optimal sleep scheduling in sensor networks for rare-event detection, in: International Conference on Information Processing in Sensor Networks, 2005, pp. 20-27.
13. Oracle Labs, SunSPOTWorld-Home, 2012.
14. J.C. Cuevas-Martinez, J. Canada-Bago, J.A. Fernandez-Prieto, M. Gadeo-Martos, Propagation of agent performance parameters in wireless sensor networks, in: Highlights in Practical Applications of Agents and Multiagent Systems, 2011, pp. 213-221.
15. A. Muñoz, J.C. Augusto, A. Villa, J.A. Botía, Design and evaluation of an ambient assisted living system based on an argumentative multi-agent system, Personal and Ubiquitous Computing 15 (2011) 377-387.
16. M. Pechoucek, Multiagent modelling and simulation as a means to wider industrial deployment of agent based computing in air-traffic control, Advances in Intelligent and Soft Computing 70 (2010) 1-3.
17. B. Qiao, K. Liu, C. Guy, A multi-agent system for building control, in: IAT '06, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006, pp. 653-659.
18. J.C. Augusto, P. McCullagh, Ambient intelligence: concepts and applications, Computer Science and Information Systems 4 (2007) 1-26.
19. D. Weyns, H. Van Dyke Parunak, F. Michel, T. Holvoet, J. Ferber, Environments for multiagent systems state-of-the-art and research challenges, Environments for Multi-agent Systems 3374 (2005) 1-47.
20. M.J. Wooldridge, An Introduction to Multiagent Systems, Wiley, 2009.
21. M. Wooldridge, N. Jennings, Agent theories, architectures, and languages: a survey, Intelligent Agents 890 (1995) 1-39.
22. H. Karl, A. Willig, Protocols and Architectures for Wireless Sensor Networks, Wiley-Interscience, 2007.
23. B. Karlsson, O. Bäckström, W. Kulesza, L. Axelsson, Intelligent sensor networks-an agent-oriented approach, in: REALWSN'05, Workshop on Real World Wireless Sensor Networks, 2005.
24. E. Benoit, R. Dapoigny, L. Foulloy, Fuzzy-based Intelligent Sensors: Modeling, Design, Application, 2009 arXiv:0904.3685.
25. J.C. Cuevas-Martinez, M.A. Gadeo-Martos, J.A. Fernandez-Prieto, J. Canada-Bago, A.J. Yuste-Delgado, Wireless intelligent sensors management application protocol-WISMAP, Sensors 10 (2010) 8827-8849.
26. I. Demirkol, C. Ersoy, F. Alagoz, MAC protocols for wireless sensor networks: a survey, Communications Magazine IEEE 44 (2006) 115-121.
27. IEEE, IEEE 802.15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LR-WPANs), IEEE Computer Society, LAN/MAN Standards Committee, 2003.
28. R. De Paz Alberola, D. Pesch, Duty cycle learning algorithm (DCLA) for IEEE 802.15.4 beacon-enabled wireless sensor networks, Ad Hoc Networks 10 (2012)664-679.
29. G. Anastasi, M. Conti, M. Di Francesco, A. Passarella, Energy conservation in wireless sensor networks: a survey, Ad Hoc Networks 7 (2009) 537-568.
30. R. Zheng, J.C. Hou, L. Sha, Asynchronous wakeup for ad hoc networks, in: MOBI-HOC03, Fourth ACM International Symposium on Mobile Ad Hoc Networking & Computing, 2003, pp. 35-45.
31. Z. Yaxiong, W. Jie, Stochastic sleep scheduling for large scale wireless sensor networks, in: 2010 IEEE International Conference on Communications (ICC), 2010, pp. 1-5.
32. K. Jamieson, H. Balakrishnan, Y. Tay, Sift: a MAC protocol for event-driven wireless sensor networks, Wireless Sensor Networks 3868 (2006) 260-275.
33. P.J. Shin, H. Medeiros, J. Park, A. Kak, Predictive duty cycle adaptation for wireless camera networks, in: 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), 2011, pp. 1-6.
34. L. Filipponi, S. Santini, A. Vitaletti, Data collection in wireless sensor networks for noise pollution monitoring, in: Distributed Computing in Sensor Systems, 2008, pp. 492-497.
35. P. Vijayraghavan, R. Krishnan, Noise in electric machines: a review, IEEE Industry Applications Conference: Thirty-third IAS Annual Meeting 1 (1998) 251-258.
36. N. Tandon, A. Choudhury, A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings, Tribology International 32 (1999) 469-480.